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dc.contributor.authorAhmed, Ejazen_GB
dc.contributor.authorBessis, Niken_GB
dc.contributor.authorNorrington, Peteren_GB
dc.contributor.authorYue, Yongen_GB
dc.date.accessioned2012-11-05T10:07:28Z
dc.date.available2012-11-05T10:07:28Z
dc.date.issued2010
dc.identifier.citationManaging Inconsistencies in Data Grid Environments 2010, 2 (4):51-65 International Journal of Grid and High Performance Computingen_GB
dc.identifier.issn1938-0259
dc.identifier.issn1938-0267
dc.identifier.doi10.4018/jghpc.2010100105
dc.identifier.urihttp://hdl.handle.net/10547/250944
dc.description.abstractMuch work has been done in the area of data access and integration using various data mapping, matching, and loading techniques. One of the main concerns when integrating data from heterogeneous data sources is data redundancy. The concern is mainly due to the different business contexts and purposes from which the data systems were originally built. A common process for accessing data from integrated databases involves the use of each data source’s own catalogue or metadata schema. In this article, the authors take the view that there is a greater chance of data inconsistencies, such as data redundancies when integrating them within a grid environment as compared to traditional distributed paradigms. The importance of improving the data search and matching process is briefly discussed, and a partial service oriented generic strategy is adopted to consolidate distinct catalogue schemas of federated databases to access information seamlessly. To this end, a proposed matching strategy between structure objects and data values across federated databases in a grid environment is presented.
dc.language.isoenen
dc.publisherIGI Globalen_GB
dc.relation.urlhttp://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jghpc.2010100105en_GB
dc.rightsArchived with thanks to International Journal of Grid and High Performance Computingen_GB
dc.titleManaging inconsistencies in data grid environmentsen
dc.typeArticleen
dc.identifier.journalInternational Journal of Grid and High Performance Computingen_GB
html.description.abstractMuch work has been done in the area of data access and integration using various data mapping, matching, and loading techniques. One of the main concerns when integrating data from heterogeneous data sources is data redundancy. The concern is mainly due to the different business contexts and purposes from which the data systems were originally built. A common process for accessing data from integrated databases involves the use of each data source’s own catalogue or metadata schema. In this article, the authors take the view that there is a greater chance of data inconsistencies, such as data redundancies when integrating them within a grid environment as compared to traditional distributed paradigms. The importance of improving the data search and matching process is briefly discussed, and a partial service oriented generic strategy is adopted to consolidate distinct catalogue schemas of federated databases to access information seamlessly. To this end, a proposed matching strategy between structure objects and data values across federated databases in a grid environment is presented.


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